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      Honey-bee–associated prokaryotic viral communities reveal wide viral diversity and a profound metabolic coding potential

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          Significance

          This study uses viral-like particle purification and subsequent unbiased genome sequencing to identify prokaryotic viruses associated with Apis mellifera. Interestingly, bacteriophages found in honey bees show a high diversity and span different viral taxa. This diversity sharply contrasts with the state-of-the-art knowledge on the relatively simple bee bacterial microbiome. The identification of multiple auxiliary metabolic genes suggests that these bacteriophages possess the coding potential to intervene in essential microbial pathways related to health and possibly also to disease. This study sheds light on a neglected part of the bee microbiota and opens avenues of in vivo research on the interaction of bacteriophages with their bacterial host, which likely has strongly underappreciated consequences on bee health.

          Abstract

          Honey bees ( Apis mellifera) produce an enormous economic value through their pollination activities and play a central role in the biodiversity of entire ecosystems. Recent efforts have revealed the substantial influence that the gut microbiota exert on bee development, food digestion, and homeostasis in general. In this study, deep sequencing was used to characterize prokaryotic viral communities associated with honey bees, which was a blind spot in research up until now. The vast majority of the prokaryotic viral populations are novel at the genus level, and most of the encoded proteins comprise unknown functions. Nevertheless, genomes of bacteriophages were predicted to infect nearly every major bee-gut bacterium, and functional annotation and auxiliary metabolic gene discovery imply the potential to influence microbial metabolism. Furthermore, undiscovered genes involved in the synthesis of secondary metabolic biosynthetic gene clusters reflect a wealth of previously untapped enzymatic resources hidden in the bee bacteriophage community.

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          Most cited references28

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          ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

          The Environment for Tree Exploration (ETE) is a computational framework that simplifies the reconstruction, analysis, and visualization of phylogenetic trees and multiple sequence alignments. Here, we present ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics. The new features include (i) building gene-based and supermatrix-based phylogenies using a single command, (ii) testing and visualizing evolutionary models, (iii) calculating distances between trees of different size or including duplications, and (iv) providing seamless integration with the NCBI taxonomy database. ETE is freely available at http://etetoolkit.org
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            Detecting overlapping protein complexes in protein-protein interaction networks.

            We introduce clustering with overlapping neighborhood expansion (ClusterONE), a method for detecting potentially overlapping protein complexes from protein-protein interaction data. ClusterONE-derived complexes for several yeast data sets showed better correspondence with reference complexes in the Munich Information Center for Protein Sequence (MIPS) catalog and complexes derived from the Saccharomyces Genome Database (SGD) than the results of seven popular methods. The results also showed a high extent of functional homogeneity.
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              The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats

              Background In Archeae and Bacteria, the repeated elements called CRISPRs for "clustered regularly interspaced short palindromic repeats" are believed to participate in the defence against viruses. Short sequences called spacers are stored in-between repeated elements. In the current model, motifs comprising spacers and repeats may target an invading DNA and lead to its degradation through a proposed mechanism similar to RNA interference. Analysis of intra-species polymorphism shows that new motifs (one spacer and one repeated element) are added in a polarised fashion. Although their principal characteristics have been described, a lot remains to be discovered on the way CRISPRs are created and evolve. As new genome sequences become available it appears necessary to develop automated scanning tools to make available CRISPRs related information and to facilitate additional investigations. Description We have produced a program, CRISPRFinder, which identifies CRISPRs and extracts the repeated and unique sequences. Using this software, a database is constructed which is automatically updated monthly from newly released genome sequences. Additional tools were created to allow the alignment of flanking sequences in search for similarities between different loci and to build dictionaries of unique sequences. To date, almost six hundred CRISPRs have been identified in 475 published genomes. Two Archeae out of thirty-seven and about half of Bacteria do not possess a CRISPR. Fine analysis of repeated sequences strongly supports the current view that new motifs are added at one end of the CRISPR adjacent to the putative promoter. Conclusion It is hoped that availability of a public database, regularly updated and which can be queried on the web will help in further dissecting and understanding CRISPR structure and flanking sequences evolution. Subsequent analyses of the intra-species CRISPR polymorphism will be facilitated by CRISPRFinder and the dictionary creator. CRISPRdb is accessible at
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                12 May 2020
                27 April 2020
                27 April 2020
                : 117
                : 19
                : 10511-10519
                Affiliations
                [1] aDepartment of Microbiology, Immunology, and Transplantation, Rega Institute for Medical Research, Division of Clinical and Epidemiological Virology, KU Leuven , BE3000 Leuven, Belgium;
                [2] bRocky Mountain Laboratories, Laboratory of Virology, Virus Ecology Unit, National Institute of Allergy and Infectious Diseases, NIH , Hamilton, MT 59840;
                [3] cDepartment of Biochemistry and Microbiology, Laboratory of Molecular Entomology and Bee Pathology, Ghent University , BE9000 Ghent, Belgium
                Author notes
                1To whom correspondence may be addressed. Email: ward.deboutte@ 123456kuleuven.be or jelle.matthijnssens@ 123456kuleuven.be .

                Edited by Nancy A. Moran, The University of Texas, Austin, TX, and approved March 20, 2020 (received for review December 12, 2019)

                Author contributions: W.D., D.C.d.G., and J.M. designed research; W.D., L.B., C.K.Y., and P.M. performed research; W.D. and L.B. analyzed data; and W.D. and J.M. wrote the paper.

                Author information
                https://orcid.org/0000-0002-3829-1056
                https://orcid.org/0000-0002-5829-7906
                https://orcid.org/0000-0002-5195-5478
                https://orcid.org/0000-0002-4571-5232
                https://orcid.org/0000-0001-8817-0781
                https://orcid.org/0000-0003-1188-9733
                Article
                201921859
                10.1073/pnas.1921859117
                7229680
                32341166
                33ace30c-9f7e-4175-ae41-4293c2d8c07a
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 9
                Funding
                Funded by: Belgian federal public service of Health, Food chain safety and environment
                Award ID: RF 16/6306
                Award Recipient : Ward Deboutte Award Recipient : Claude Kwe Yinda
                Funded by: Fonds Wetenschappelijk Onderzoek (FWO) 501100003130
                Award ID: 1S61616N
                Award Recipient : Leen Beller
                Funded by: Interfaculty Council for the Development Cooperation
                Award ID: NA
                Award Recipient : Ward Deboutte Award Recipient : Claude Kwe Yinda
                Categories
                Biological Sciences
                Microbiology
                From the Cover

                viral metagenomics,prokaryotic viruses,bacteriophages,apis mellifera

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